Sep 2023 – Jan 2025 · 1 yr 4 mos · Hyderabad, Telangana, India

• 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: Newton Classroom(Educational ERP)
• Created a Student Attendance Feature that enables synchronization of data from Google Meet used for online classes and allows manual updates for
• offline classes.
• Implemented a notification system for both in-app and email notifications using socket.io for real-time updates and AWS SES (Simple Email Service) for
• email communication.
• Developed APIs to seamlessly insert client data from Excel files into the platform at different stages of the client onboarding process.
• Incorporated Google APIs to handle user account management and access control within the system.
• Contributed to developing features including a diary system, grading functionality, and staff attendance using biometric authentication.
• Developed app versioning and version tracking for Parent and Staff mobile apps.

Sep 2022 – Sep 2023 · 1 yr · Hyderabad, Telangana, India

Jul 2021 – Sep 2022 · 1 yr 2 mos · India

• 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: MLCore
• Designed and developed a socket-based notification system through which the application can interact with various services and notify the user in real-time.
• Responsible for bringing enterprise standard application security layer to the application.
• participated in the application RBAC development
• Responsible for integrating Labelstudio into the application.
• 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗼𝗿 𝗔𝗜 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿
• Led the frontend development for Extractor Accelerator, an ML lifecycle management platform internally used by Bridgei2i to solve NLP and CV use cases.
• Designed the unit testing architecture for platform development
• Responsible for developing the RESTful backend APIs to minimize the DB hits.
• 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗲𝗿 𝗔𝗜 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿
• Led the development of bringing hyperparameter tuning to the Recommender platform, an ML lifecycle management platform used internally by Bridgei2i to solve recommendation use cases.
• Responsible DB schema optimisation and normalisation

Jan 2021 – Jul 2021 · 6 mos · Bengaluru, Karnataka, India

• 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗲𝗿 𝗔𝗜 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿
• Played an integral part in bringing up the first version recommender accelerator with respect to UI components and backend APIs design and development
• Removed multiple CSV upload dependencies by introducing a dynamic tree creation process in UI.
• 𝗦𝗲𝗹𝗳 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴𝘀
• Explored multiple technologies/frameworks like Python, SQL, React, Fastapi, GOCD pipelines throughout the internship.

May 2020 – Jul 2020 · 2 mos · Singapore, Singapore